Key Takeaways
- Start with the decision, not the data
- Design for the busiest person in the room
- Build feedback loops into every dashboard
Good AI Augmentation infrastructure doesn't just display data—it drives decisions. Here's what I've learned building dashboards that executives actually use.
Start With the Decision
Most AI Augmentation projects fail because they start with "what data do we have?" instead of "what decisions do we need to make?"
Before building anything, answer these questions:
- What decision will this inform?
- Who makes that decision?
- How often do they make it?
- What would change their mind?
Design for the Busiest Person
If your dashboard requires a 30-minute explanation, it's not a dashboard—it's a report. The best dashboards communicate in seconds.
Principles I follow:
- One metric per view: What's the single most important number?
- Context over data: Show trends, not just snapshots
- Action-oriented: Make the next step obvious
Build in Feedback Loops
The dashboard isn't done when it ships—it's done when people use it. Track:
- Who's logging in (and who isn't)
- What they're clicking
- What questions they ask afterward
This tells you what's working and what's missing.
The best AI Augmentation systems are invisible. They surface the right information to the right person at the right time. Everything else is just noise.